The phrase "allow for dependence between" is correct and usable in written English.
It can be used in contexts where you want to indicate that a certain situation or model takes into account the interdependence of variables or factors.
Example: "The study aims to allow for dependence between the various economic indicators when analyzing market trends."
Alternatives: "account for interdependence among" or "consider the reliance between".
The model was extended to allow for dependence between the residual variance and age.
For the subjects, we used models with a random intercept to allow for dependence between the repeated measurements.
To allow for dependence between repeat infections in the same individual, robust variance estimates (Huber-White sandwich estimator) are reported (30).
A full-factorial, orthogonal design only provides optimal efficiency in case the attributes do not affect the choice probabilities [ 9] and does not allow for dependence between the attributes.
For the dominance tests, standard errors of the ordinates of curves and of differences in ordinates are computed, allowing for dependence between curves where appropriate [ 39, 40].
Since different GPs face patients with similar diagnoses, again a model, which allows for dependence between observations, was chosen (see appendix 2 for the full model).
However, in cases with terms relevant to the nervous system and growth these terms showed significantly different distributions (P <0.05 after Bonferroni correction, which allows for dependence between tests in addition to multiplicity; Figure 4B).
Mixed models allow for dependence of observations provided by the same respondent.
In the present study, as far as possible, univariate stratified analysis was used to assess and allow for potential dependence between sources.
Location model: the naive independence model can be modified to allow for some dependence between the two types of data, for example, by using a location model (Hunt and Jorgensen, 1999) as was proposed by Ng and McLachlan (2008).
Both are nonparametric statistics allowing testing for dependence between two variables.
